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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and deploying generative AI solutions, integrating enterprise systems, and leading technical discussions with stakeholders. Proficient in utilizing advanced technologies such as RESTful APIs, iPaaS, and AI-augmented tooling to drive business outcomes.
Highest-signal resume keywords
Enterprise Systems ArchitectureGenerative AI Solutions DeploymentRESTful APIs and JSON ExpertiseTechnical Pre-Sales ExperienceData Integration Using iPaaS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AI SolutionsRESTful APIsData ModelingDatabase DesignHTMLCSSJavaScriptMCP ConfigurationsAgentic AI Reasoning SystemsPrompt Engineering
Soft Skills
Influencing Senior StakeholdersTechnical Presentation SkillsPrioritization of Complex Accounts
Tools & Technologies
Zendesk Resolution PlatformAWSAzureGCPSalesforce Service CloudServiceNowIntercom FinFreshworksClaude CodeCursor
Industry Keywords
Technical PresalesEnterprise SaaSCustomer Experience (CX)Data Privacy FrameworksToken-Based Authentication
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformITSMJavaScriptNode.jsReactServiceNowVue.js
About the role
Key responsibilities & impact- Serve as the technical strategist for enterprise customers and prospects using the AI-powered Zendesk Resolution Platform
- Design and architect next-generation service solutions that transform traditional support centers into Autonomous Service Workforces
- Advise the enterprise sales organization on technical architecture, proofs of concept, technical wins, and business targets
- Lead strategic discussions with sales engineers, account executives, business consultants, and senior executives
- Conduct technical discovery, scope opportunities, and manage complex proofs of concept for expansion and cross-sell opportunities
- Demonstrate Zendesk headless capabilities and embed Zendesk into workflows using MCP and, where applicable, A2A integrations
- Design and deploy multi-step agentic workflows using Zendesk Agent Builder and Action Builder
- Architect integrations between Zendesk, external AI platforms, and enterprise applications using MCP servers, APIs, iPaaS, and enterprise integration patterns
- Integrate federated enterprise data sources such as SharePoint, Confluence, and Google Drive using Context Graph and Knowledge Graph connectors
- Lead the technical handoff from presales to post-sales implementation teams
- Support long-term AI deployment success, AI Quality Scores, quality assurance, and ongoing expansion
- Act as subject matter expert on platform security, global scalability, custom data models, and Zendesk Copilot implementations
- Partner with Product Engineering and Product Marketing to shape Zendesk’s AI architecture roadmap
Requirements
What you’ll need- 8+ years of experience in enterprise systems or solutions architecture, technical presales, or professional IT consulting services
- Experience architecting and deploying generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG) frameworks, and agentic AI reasoning systems
- Advanced expertise with RESTful APIs, JSON, web services, database design, data modeling, and Model Context Protocol (MCP) configurations
- Deep familiarity with AWS, Azure, and GCP
- Experience designing and orchestrating enterprise data integrations using iPaaS solutions
- Comprehensive knowledge of single sign-on (SSO), OAuth, data privacy frameworks, and token-based authentication for AI systems
- Solid understanding of HTML, CSS, JavaScript, and modern SaaS application architectures
- Proven track record of influencing senior stakeholders, translating technical AI concepts into business outcomes, and delivering technical presentations on-site and remotely
- Ability to prioritize multiple complex, concurrent transformation accounts
- Previous experience managing large-scale implementations of enterprise-class customer service software or ITSM platforms is desirable
- Experience utilizing advanced diagnostic analytics systems for root-cause and trend analysis is desirable
- Familiarity with React or Vue and Node.js is desirable
- Practical experience using AI-augmented tooling such as Claude Code or Cursor is desirable
- Strong sales acumen and prior experience in technical pre-sales or solutions architecture within an enterprise SaaS or CX environment is desirable
- Experience with Salesforce Service Cloud, ServiceNow, Intercom Fin, or Freshworks is highly desirable
Benefits
Comp & perks- Flexible work remotely for part of the week
- Hybrid way of working with purposeful in-person collaboration at Zendesk offices
- Reasonable accommodations for applicants with disabilities and disabled veterans
- Equal opportunity employment
- Inclusive workplace experience
- AI or automated decision systems disclosure for application screening/evaluation
